diff --git a/egs/multi_zh-hans/ASR/local/compute_fbank_primewords.py b/egs/multi_zh-hans/ASR/local/compute_fbank_primewords.py
new file mode 100644
index 000000000..0ea414548
--- /dev/null
+++ b/egs/multi_zh-hans/ASR/local/compute_fbank_primewords.py
@@ -0,0 +1,114 @@
+#!/usr/bin/env python3
+# Copyright    2023  Xiaomi Corp.        (authors: Fangjun Kuang
+#                                                  Zengrui Jin)
+#
+# See ../../../../LICENSE for clarification regarding multiple authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+"""
+This file computes fbank features of the Primewords dataset.
+It looks for manifests in the directory data/manifests/primewords.
+
+The generated fbank features are saved in data/fbank.
+"""
+
+import argparse
+import logging
+import os
+from pathlib import Path
+
+import torch
+from lhotse import CutSet, Fbank, FbankConfig, LilcomChunkyWriter
+from lhotse.recipes.utils import read_manifests_if_cached
+
+from icefall.utils import get_executor
+
+# Torch's multithreaded behavior needs to be disabled or
+# it wastes a lot of CPU and slow things down.
+# Do this outside of main() in case it needs to take effect
+# even when we are not invoking the main (e.g. when spawning subprocesses).
+torch.set_num_threads(1)
+torch.set_num_interop_threads(1)
+
+
+def compute_fbank_thchs30(num_mel_bins: int = 80):
+    src_dir = Path("data/manifests/primewords")
+    output_dir = Path("data/fbank")
+    num_jobs = min(15, os.cpu_count())
+
+    dataset_parts = ("train",)
+    prefix = "primewords"
+    suffix = "jsonl.gz"
+    manifests = read_manifests_if_cached(
+        dataset_parts=dataset_parts,
+        output_dir=src_dir,
+        prefix=prefix,
+        suffix=suffix,
+    )
+    assert manifests is not None
+
+    assert len(manifests) == len(dataset_parts), (
+        len(manifests),
+        len(dataset_parts),
+        list(manifests.keys()),
+        dataset_parts,
+    )
+
+    extractor = Fbank(FbankConfig(num_mel_bins=num_mel_bins))
+
+    with get_executor() as ex:  # Initialize the executor only once.
+        for partition, m in manifests.items():
+            if (output_dir / f"{prefix}_cuts_{partition}.{suffix}").is_file():
+                logging.info(f"{partition} already exists - skipping.")
+                continue
+            logging.info(f"Processing {partition}")
+            cut_set = CutSet.from_manifests(
+                recordings=m["recordings"],
+                supervisions=m["supervisions"],
+            )
+            if "train" in partition:
+                cut_set = (
+                    cut_set + cut_set.perturb_speed(0.9) + cut_set.perturb_speed(1.1)
+                )
+            cut_set = cut_set.compute_and_store_features(
+                extractor=extractor,
+                storage_path=f"{output_dir}/{prefix}_feats_{partition}",
+                # when an executor is specified, make more partitions
+                num_jobs=num_jobs if ex is None else 80,
+                executor=ex,
+                storage_type=LilcomChunkyWriter,
+            )
+            cut_set.to_file(output_dir / f"{prefix}_cuts_{partition}.{suffix}")
+
+
+def get_args():
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--num-mel-bins",
+        type=int,
+        default=80,
+        help="""The number of mel bins for Fbank""",
+    )
+
+    return parser.parse_args()
+
+
+if __name__ == "__main__":
+    formatter = "%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] %(message)s"
+
+    logging.basicConfig(format=formatter, level=logging.INFO)
+
+    args = get_args()
+    compute_fbank_thchs30(num_mel_bins=args.num_mel_bins)
diff --git a/egs/multi_zh-hans/ASR/local/compute_fbank_stcmds.py b/egs/multi_zh-hans/ASR/local/compute_fbank_stcmds.py
new file mode 100644
index 000000000..932ee6341
--- /dev/null
+++ b/egs/multi_zh-hans/ASR/local/compute_fbank_stcmds.py
@@ -0,0 +1,118 @@
+#!/usr/bin/env python3
+# Copyright    2023  Xiaomi Corp.        (authors: Fangjun Kuang
+#                                                  Zengrui Jin)
+#
+# See ../../../../LICENSE for clarification regarding multiple authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+"""
+This file computes fbank features of the ST-CMDS dataset.
+It looks for manifests in the directory data/manifests/stcmds.
+
+The generated fbank features are saved in data/fbank.
+"""
+
+import argparse
+import logging
+import os
+from pathlib import Path
+
+import torch
+from lhotse import CutSet, Fbank, FbankConfig, LilcomChunkyWriter
+from lhotse.recipes.utils import read_manifests_if_cached
+
+from icefall.utils import get_executor
+
+# Torch's multithreaded behavior needs to be disabled or
+# it wastes a lot of CPU and slow things down.
+# Do this outside of main() in case it needs to take effect
+# even when we are not invoking the main (e.g. when spawning subprocesses).
+torch.set_num_threads(1)
+torch.set_num_interop_threads(1)
+
+
+def compute_fbank_thchs30(num_mel_bins: int = 80):
+    src_dir = Path("data/manifests/stcmds")
+    output_dir = Path("data/fbank")
+    num_jobs = min(15, os.cpu_count())
+
+    dataset_parts = (
+        "train",
+        "dev",
+        "test",
+    )
+    prefix = "stcmds"
+    suffix = "jsonl.gz"
+    manifests = read_manifests_if_cached(
+        dataset_parts=dataset_parts,
+        output_dir=src_dir,
+        prefix=prefix,
+        suffix=suffix,
+    )
+    assert manifests is not None
+
+    assert len(manifests) == len(dataset_parts), (
+        len(manifests),
+        len(dataset_parts),
+        list(manifests.keys()),
+        dataset_parts,
+    )
+
+    extractor = Fbank(FbankConfig(num_mel_bins=num_mel_bins))
+
+    with get_executor() as ex:  # Initialize the executor only once.
+        for partition, m in manifests.items():
+            if (output_dir / f"{prefix}_cuts_{partition}.{suffix}").is_file():
+                logging.info(f"{partition} already exists - skipping.")
+                continue
+            logging.info(f"Processing {partition}")
+            cut_set = CutSet.from_manifests(
+                recordings=m["recordings"],
+                supervisions=m["supervisions"],
+            )
+            if "train" in partition:
+                cut_set = (
+                    cut_set + cut_set.perturb_speed(0.9) + cut_set.perturb_speed(1.1)
+                )
+            cut_set = cut_set.compute_and_store_features(
+                extractor=extractor,
+                storage_path=f"{output_dir}/{prefix}_feats_{partition}",
+                # when an executor is specified, make more partitions
+                num_jobs=num_jobs if ex is None else 80,
+                executor=ex,
+                storage_type=LilcomChunkyWriter,
+            )
+            cut_set.to_file(output_dir / f"{prefix}_cuts_{partition}.{suffix}")
+
+
+def get_args():
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--num-mel-bins",
+        type=int,
+        default=80,
+        help="""The number of mel bins for Fbank""",
+    )
+
+    return parser.parse_args()
+
+
+if __name__ == "__main__":
+    formatter = "%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] %(message)s"
+
+    logging.basicConfig(format=formatter, level=logging.INFO)
+
+    args = get_args()
+    compute_fbank_thchs30(num_mel_bins=args.num_mel_bins)
diff --git a/egs/multi_zh-hans/ASR/prepare.sh b/egs/multi_zh-hans/ASR/prepare.sh
index 5d61a218c..278e083c5 100755
--- a/egs/multi_zh-hans/ASR/prepare.sh
+++ b/egs/multi_zh-hans/ASR/prepare.sh
@@ -101,14 +101,76 @@ if [ $stage -le 4 ] && [ $stop_stage -ge 4 ]; then
   if [ -e ../../aishell/ASR/data/fbank/.aishell2.done ]; then
     cd data/fbank
     ln -svf $(realpath ../../../../aishell2/ASR/data/fbank/aishell2_feats_train) .
-    ln -svf $(realpath ../../../../aishell2/ASR/data/fbank/aishell_feats_dev) .
-    ln -svf $(realpath ../../../../aishell2/ASR/data/fbank/aishell_feats_test) .
-    ln -svf $(realpath ../../../../aishell2/ASR/data/fbank/aishell_cuts_train.jsonl.gz) .
-    ln -svf $(realpath ../../../../aishell2/ASR/data/fbank/aishell_cuts_dev.jsonl.gz) .
-    ln -svf $(realpath ../../../../aishell2/ASR/data/fbank/aishell_cuts_test.jsonl.gz) .
+    ln -svf $(realpath ../../../../aishell2/ASR/data/fbank/aishell2_feats_dev) .
+    ln -svf $(realpath ../../../../aishell2/ASR/data/fbank/aishell2_feats_test) .
+    ln -svf $(realpath ../../../../aishell2/ASR/data/fbank/aishell2_cuts_train.jsonl.gz) .
+    ln -svf $(realpath ../../../../aishell2/ASR/data/fbank/aishell2_cuts_dev.jsonl.gz) .
+    ln -svf $(realpath ../../../../aishell2/ASR/data/fbank/aishell2_cuts_test.jsonl.gz) .
     cd ../..
   else 
     log "Abort! Please run ../../aishell2/ASR/prepare.sh --stage 3 --stop-stage 3"
     exit 1
   fi 
+fi
+
+log "Dataset: AISHELL-4"
+if [ $stage -le 5 ] && [ $stop_stage -ge 5 ]; then
+  log "Stage 5: Prepare AISHELL-4"
+  if [ -e ../../aishell/ASR/data/fbank/.aishell4.done ]; then
+    cd data/fbank
+    ln -svf $(realpath ../../../../aishell4/ASR/data/fbank/aishell4_feats_train) .
+    ln -svf $(realpath ../../../../aishell4/ASR/data/fbank/aishell4_feats_dev) .
+    ln -svf $(realpath ../../../../aishell4/ASR/data/fbank/aishell4_feats_test) .
+    ln -svf $(realpath ../../../../aishell4/ASR/data/fbank/aishell4_cuts_train.jsonl.gz) .
+    ln -svf $(realpath ../../../../aishell4/ASR/data/fbank/aishell4_cuts_dev.jsonl.gz) .
+    ln -svf $(realpath ../../../../aishell4/ASR/data/fbank/aishell4_cuts_test.jsonl.gz) .
+    cd ../..
+  else 
+    log "Abort! Please run ../../aishell4/ASR/prepare.sh --stage 3 --stop-stage 3"
+    exit 1
+  fi 
+fi
+
+log "Dataset: ST-CMDS"
+if [ $stage -le 6 ] && [ $stop_stage -ge 6 ]; then
+  log "Stage 6: Prepare ST-CMDS"
+  if [ ! -f $dl_dir/stcmds/ST-CMDS-20170001_1-OS.tar.gz ]; then
+    log "Downloading ST-CMDS"
+    lhotse download stcmds $dl_dir/stcmds
+  fi
+
+  if [ ! -f data/manifests/.stcmds.done ]; then
+    mkdir -p data/manifests
+    lhotse prepare stcmds $dl_dir/stcmds data/manifests/stcmds
+    touch data/manifests/.stcmds.done
+  fi
+
+  if [ ! -f data/fbank/.stcmds.done ]; then
+    mkdir -p data/fbank
+    ./local/compute_fbank_stcmds.py
+    touch data/fbank/.stcmds.done
+  fi
+fi
+
+
+log "Dataset: Primewords"
+if [ $stage -le 7 ] && [ $stop_stage -ge 7 ]; then
+  log "Stage 6: Prepare Primewords"
+  if [ ! -f $dl_dir/primewords/primewords_md_2018_set1.tar.gz ]; then
+    log "Downloading Primewords"
+    lhotse download primewords $dl_dir/primewords
+  fi
+
+  if [ ! -f data/manifests/.stcmds.done ]; then
+    mkdir -p data/manifests
+    lhotse prepare stcmds $dl_dir/primewords data/manifests/primewords
+    touch data/manifests/.primewords.done
+  fi
+
+  if [ ! -f data/fbank/.primewords.done ]; then
+    mkdir -p data/fbank
+    ./local/compute_fbank_primewords.py
+    touch data/fbank/.primewords.done
+  fi
+
 fi
\ No newline at end of file